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title: Q&A about my Explore DDD designing microservices workshop
description: A Q&A promoting a workshop on designing microservices at the Explore DDD 2026 conference in Denver. Key themes include why microservice architecture matters...
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# Q&A about my Explore DDD designing microservices workshop

**[Microservices.io](https://daily.dev/sources/microservicesio)** · 4 min read · 1 upvotes · 0 comments

## Summary

A Q&A promoting a workshop on designing microservices at the Explore DDD 2026 conference in Denver. Key themes include why microservice architecture matters more in the GenAI era (coding agents accelerate change flow, demanding better architecture), common pitfalls like excessively fine-grained services and tight coupling, and the limits of AI in architectural decision-making. The workshop combines lectures with hands-on group design exercises, and attendees leave with practical techniques for defining service boundaries, managing coupling, and applying service collaboration patterns.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <http://microservices.io/post/architecture/2026/07/20/qa-explore-ddd-microservices-workshop.html>

## Questions this post answers

### Why does microservice architecture matter more now that GenAI coding agents are widely used?

Coding agents accelerate the flow of changes, which requires an architecture that can support that increased flow rate, causing organizations to outgrow monolithic architectures sooner. Additionally, a service's smaller codebase improves the effectiveness of coding agents, since they perform better against a narrower, well-scoped context.

_daily.dev surfaces architecture takes like this for teams rethinking service boundaries as AI agents reshape delivery speed._

### What is the most common mistake teams make when splitting a system into microservices?

Teams most often build an excessively fine-grained service architecture, sometimes with one service per team member or worse. This creates architectures that are difficult to understand and maintain, introduces tight design-time and runtime coupling, and forces teams to deal with distributed systems issues like complex coordination logic instead of solving actual business problems.

_Developers weighing service boundaries can track patterns like this on daily.dev before over-splitting their own systems._

### Can GenAI reliably design a microservice architecture on its own?

No, GenAI can suggest service decompositions, extract domain models and APIs, and rapidly explore alternatives, but it is a next-token predictor that understands nothing and cannot reason. It can produce an architecture that looks plausible but bakes in tight coupling or wrong service boundaries, so human architects remain essential for setting guardrails and making final judgment calls.

_daily.dev helps engineers stay grounded on where AI assistance ends and human architectural judgment must take over._

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---

Tags: [#architecture](https://daily.dev/tags/architecture), [#microservices](https://daily.dev/tags/microservices), [#distributed-systems](https://daily.dev/tags/distributed-systems), [#domain-driven-design](https://daily.dev/tags/domain-driven-design)

[View this post on daily.dev](https://daily.dev/posts/q-a-about-my-explore-ddd-designing-microservices-workshop-ar44hxawf)

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